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AI is promising in assisting UX evaluators with analyzing usability tests, but its judgments are typically presented as non-interactive visualizations. Evaluators may have questions about test recordings, but have no way of asking them.…

人机交互 · 计算机科学 2023-03-08 Emily Kuang , Ehsan Jahangirzadeh Soure , Mingming Fan , Jian Zhao , Kristen Shinohara

Communication access real-time translation (CART) is an essential accessibility service for d/Deaf and hard of hearing (DHH) individuals, but the cost and scarcity of trained personnel limit its availability. While Automatic Speech…

人机交互 · 计算机科学 2025-03-20 Korbinian Kuhn , Verena Kersken , Gottfried Zimmermann

Voice-based discussion forums where users can record audio messages which are then published for other users to listen and comment, are often moderated to ensure that the published audios are of good quality, relevant, and adhere to…

Training Large Multimodality Models (LMMs) relies on descriptive image caption that connects image and language. Existing methods for generating such captions often rely on distilling the captions from pretrained LMMs, constructing them…

计算机视觉与模式识别 · 计算机科学 2026-01-28 Yanpeng Sun , Jing Hao , Ke Zhu , Jiang-Jiang Liu , Yuxiang Zhao , Xiaofan Li , Na Zhao , Zechao Li , Jingdong Wang

Code review is a critical software engineering practice where developers review code changes before integration to ensure code quality, detect defects, and improve maintainability. In recent years, AI agents that can understand code…

软件工程 · 计算机科学 2026-03-18 Suzhen Zhong , Shayan Noei , Ying Zou , Bram Adams

The growing capabilities of large language models and multimodal systems have spurred interest in voice-first AI assistants, yet existing benchmarks are inadequate for evaluating the full range of these systems' capabilities. We introduce…

计算与语言 · 计算机科学 2025-09-29 Ke Wang , Houxing Ren , Zimu Lu , Mingjie Zhan , Hongsheng Li

Animated movies are captivating for their unique character designs and imaginative storytelling, yet they pose significant challenges for existing recognition systems. Unlike the consistent visual patterns detected by conventional face…

计算机视觉与模式识别 · 计算机科学 2025-09-16 Zhongrui Gui , Junyu Xie , Tengda Han , Weidi Xie , Andrew Zisserman

An ideal multimodal agent should be aware of the quality of its input modalities. Recent advances have enabled large language models (LLMs) to incorporate auditory systems for handling various speech-related tasks. However, most audio LLMs…

Video-to-audio synthesis, which generates synchronized audio for visual content, critically enhances viewer immersion and narrative coherence in film and interactive media. However, video-to-audio dubbing for long-form content remains an…

计算机视觉与模式识别 · 计算机科学 2025-03-18 Yehang Zhang , Xinli Xu , Xiaojie Xu , Li Liu , Yingcong Chen

Despite advances in text and visual generation, creating coherent long-form audio narratives remains challenging. Existing frameworks often exhibit limitations such as mismatched character settings with voice performance, insufficient…

声音 · 计算机科学 2026-05-21 Yiming Ren , Xuenan Xu , Ziyang Zhang , Wen Wu , Baoxiang Li , Chao Zhang

With generative artificial intelligence driving the growth of dialogic data in education, automated coding is a promising direction for learning analytics to improve efficiency. This surge highlights the need to understand the nuances of…

人机交互 · 计算机科学 2025-12-25 Zijian Li , Luzhen Tang , Mengyu Xia , Xinyu Li , Naping Chen , Dragan Gašević , Yizhou Fan

Personalizing Automatic Speech Recognition (ASR) for non-normative speech remains challenging because data collection is labor-intensive and model training is technically complex. To address these limitations, we propose Adapt4Me, a…

人机交互 · 计算机科学 2026-03-23 Niclas Pokel , Yiming Zhao , Pehuén Moure , Yingqiang Gao , Roman Böhringer

CodeCompose is an AI-assisted code authoring tool powered by large language models (LLMs) that provides inline suggestions to 10's of thousands of developers at Meta. In this paper, we present how we scaled the product from displaying…

The automatic movie dubbing model generates vivid speech from given scripts, replicating a speaker's timbre from a brief timbre prompt while ensuring lip-sync with the silent video. Existing approaches simulate a simplified workflow where…

计算与语言 · 计算机科学 2025-11-19 Rui Liu , Yuan Zhao , Zhenqi Jia

Artificial intelligence (AI) provides considerable opportunities to assist human work. However, one crucial challenge of human-AI collaboration is that many AI algorithms operate in a black-box manner where the way how the AI makes…

人机交互 · 计算机科学 2024-06-13 Julian Senoner , Simon Schallmoser , Bernhard Kratzwald , Stefan Feuerriegel , Torbjørn Netland

Deep Audio Analyzer is an open source speech framework that aims to simplify the research and the development process of neural speech processing pipelines, allowing users to conceive, compare and share results in a fast and reproducible…

声音 · 计算机科学 2023-10-31 Valerio Francesco Puglisi , Oliver Giudice , Sebastiano Battiato

Every day we are surrounded by spoken dialog. This medium delivers rich diverse streams of information auditorily; however, systematically understanding dialog can often be non-trivial. Despite the pervasiveness of spoken dialog, automated…

计算与语言 · 计算机科学 2021-08-24 Daniel Li , Thomas Chen , Albert Tung , Lydia Chilton

It has always been a rather tough task to communicate with someone possessing a hearing impairment. One of the most tested ways to establish such a communication is through the use of sign based languages. However, not many people are aware…

计算机视觉与模式识别 · 计算机科学 2025-07-22 Sharanya Mukherjee , Md Hishaam Akhtar , Kannadasan R

Video is a powerful medium for communication and storytelling, yet reauthoring existing footage remains challenging. Even simple edits often demand expertise, time, and careful planning, constraining how creators envision and shape their…

人机交互 · 计算机科学 2026-04-07 Sitong Wang , Anh Truong , Lydia B. Chilton , Dingzeyu Li

Agentic AI workflows (systems that autonomously plan and act) are becoming widespread, yet their task success rate on complex tasks remains low. A promising solution is inference-time alignment, which uses extra compute at test time to…